Artificial Intelligence techniques based on the integration of symbolic logic and deep neural networks : A systematic review of the literature

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<dc:creator>Negro, Pablo</dc:creator>
<dc:creator>Pons, Claudia</dc:creator>
<dc:date>2022-05-02</dc:date>
<dc:description xml:lang="es">Sumario: The need for neural-symbolic integration becomes apparent as more complex problems are tackled, and they go beyond limited domain tasks such as classification. In this sense, understanding the state of the art of hybrid technologies based on Deep Learning and augmented with logic based systems, is of utmost importance. As a consequence, we seek to understand and represent the current state of these technologies that are highly used in intelligent systems engineering.
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<dc:format xml:lang="en">application/pdf</dc:format>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/179620.do</dc:identifier>
<dc:language>spa</dc:language>
<dc:rights xml:lang="es">https://creativecommons.org/licenses/by-nc/4.0</dc:rights>
<dc:subject xml:lang="es">Inteligencia artificial</dc:subject>
<dc:subject xml:lang="es">Evolución tecnológica</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Artificial Intelligence techniques based on the integration of symbolic logic and deep neural networks : A systematic review of the literature</dc:title>
<dc:relation xml:lang="es">En: Revista Iberoamericana de Inteligencia Artificial. -  : IBERAMIA, Sociedad Iberoamericana de Inteligencia Artificial , 2018- = ISSN 1988-3064. - 02/05/2022 Volumen 25 Número 69 - mayo 2022 , p. 13-41</dc:relation>
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